Démarche diagnostique en mycologie

Troisième partie : Maladies fongiques</p

Mycoses superficielles

Troisième partie : Maladies fongiques</p

Autres mycoses profondes

Mucormycoses tropicalesTroisième partie: Maladies fongiques</p

Introduction à la mycologie en zones tropicales

Troisième partie : Maladies fongiques</p

Age-dependent skewing of X chromosome inactivation appears delayed in centenarians\u2019 offspring. Is there a role for allelic imbalance in Healthy Aging and Longevity?

Recently, it has been proposed that age-related X chromosome inactivation (XCI) skewing can clinically result in late-onset X-linked disorders. This observation leads to hypothesize that age-related skewed XCI might also influence lifespan in women. To investigate this issue, we employed a new experimental model of longevity and healthy aging including 55 female centenarians, 40 of their offspring, 33 age-matched offspring of both non-long-lived parents and 41 young women. Peripheral blood DNA from 169 females was screened for heterozygosity at the HUMARA locus. We confirmed that skewing of XCI is an age-dependent phenomenon. However, skewed XCI was significantly less severe and frequent in centenarians' offspring [degree of skewing (DS) = 0.16 \ub1 0.02] compared to age-matched offspring of both non-long-lived parents (DS = 0.24 \ub1 0.02) (P &lt; 0.05). A second goal was to assess whether changes in XCI pattern could be a consequence of loss of methylation on X chromosome. Using a methylation array evaluating 1085 CpG sites across X chromosome and eleven CpG sites located at HUMARA locus, no differences in methylation levels and profiles emerged between all groups analysed, thus suggesting that age-associated epigenetic changes could not influence HUMARA results. In conclusion, the results presented herein highlight for the first time an interesting link between skewing of XCI and healthy aging and longevity. We speculate that the allelic imbalance produced by XCI skewing may compromise the cooperative and compensatory organization occurring between the two cell populations that make up the female mosaic

OBDD-Based Representation of Interval Graphs

A graph $G = (V,E)$ can be described by the characteristic function of the edge set $\chi_E$ which maps a pair of binary encoded nodes to 1 iff the nodes are adjacent. Using \emph{Ordered Binary Decision Diagrams} (OBDDs) to store $\chi_E$ can lead to a (hopefully) compact representation. Given the OBDD as an input, symbolic/implicit OBDD-based graph algorithms can solve optimization problems by mainly using functional operations, e.g. quantification or binary synthesis. While the OBDD representation size can not be small in general, it can be provable small for special graph classes and then also lead to fast algorithms. In this paper, we show that the OBDD size of unit interval graphs is $O(\ | V \ | /\log \ | V \ |)$ and the OBDD size of interval graphs is $O(\ | V \ | \log \ | V \ |)$which both improve a known result from Nunkesser and Woelfel (2009). Furthermore, we can show that using our variable order and node labeling for interval graphs the worst-case OBDD size is$\Omega(\ | V \ | \log \ | V \ |)$. We use the structure of the adjacency matrices to prove these bounds. This method may be of independent interest and can be applied to other graph classes. We also develop a maximum matching algorithm on unit interval graphs using$O(\log \ | V \ |)$operations and a coloring algorithm for unit and general intervals graphs using$O(\log^2 \ | V \ |)$ operations and evaluate the algorithms empirically.Comment: 29 pages, accepted for 39th International Workshop on Graph-Theoretic Concepts 201

Analysis of local and regional recurrences in breast cancer after conservative surgery

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The Italian Family Satisfaction in the Intensive Care Unit Questionnaire: A Psychometric Evaluation Using the Rasch Model

Quality measurement of the intensive care unit (ICU) should include families’ perspectives, their satisfaction with the care process and outcomes, and the evaluation of actions to improve their psychological health and wellbeing. The current study was designed to validate the Italian version of the Family Satisfaction in the Intensive Care Unit (FS-ICU) using the Rasch model. Results included reliability and separation for items and persons, item fit statistics, unidimensionality, and item characteristic curve. The study was conducted between August 2022 and February 2023. A total of 108 family members (mean age 54.9 years) completed the FS-ICU questionnaire. The instrument had a moderate discrimination ability and only five items (#21, #23, #10, #22, and #24) exhibited a misfit. The Rasch dimension explained 52.1% of the variance in the data, while the unexplained variance in the first contrast is 7.2%, which indicates a possible second dimension. FS-ICU was shown to be beneficial as an assessment instrument for family member satisfaction in the ICU, despite some flaws that need to further be addressed to improve the scale